{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 导入所需的库"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-12T16:37:38.013689Z",
     "start_time": "2023-05-12T16:37:32.512109Z"
    }
   },
   "outputs": [],
   "source": [
    "import networkx.exception\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.cluster import DBSCAN\n",
    "from scipy.spatial.distance import pdist, squareform\n",
    "from math import sin, cos, asin, sqrt, radians\n",
    "import matplotlib.pyplot as plt\n",
    "import networkx as nx\n",
    "import matplotlib as mpl\n",
    "import geopandas as gpd\n",
    "import requests"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 出租车轨迹数据提取"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-12T16:38:03.349111Z",
     "start_time": "2023-05-12T16:37:57.487780Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\CliQue\\AppData\\Local\\Temp\\ipykernel_4144\\1006864279.py:19: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
      "  df.groupby('轨迹ID').apply(extract)\n"
     ]
    }
   ],
   "source": [
    "def get_od_and_trac(df):\n",
    "    loads = []\n",
    "    no_loads = []\n",
    "    pick_up = []\n",
    "    drop_off = []\n",
    "    tids = list(df['轨迹ID'].unique())\n",
    "\n",
    "    def extract(sub_df):\n",
    "        status = sub_df.iloc[0]['空车/重车']\n",
    "        row1 = sub_df.iloc[0]\n",
    "        row2 = sub_df.iloc[-1]\n",
    "        if status == '空车':  # 空车轨迹\n",
    "            no_loads.append(sub_df)\n",
    "        else:  # 重车OD为上下车点\n",
    "            pick_up.append((row1['经度'], row1['纬度'], row1['定位时间']))\n",
    "            drop_off.append((row2['经度'], row2['纬度'], row2['定位时间']))\n",
    "            loads.append(sub_df)\n",
    "\n",
    "    df.groupby('轨迹ID').apply(extract)\n",
    "    return loads, no_loads, pick_up, drop_off\n",
    "\n",
    "\n",
    "df = pd.read_csv('../data/processed/output_data/20181110_3_indexed.txt')\n",
    "cols = df.columns.drop(['定位时间', '空车/重车'])\n",
    "df[cols] = df[cols].apply(pd.to_numeric, errors='coerce')\n",
    "loads, no_loads, pick_up, drop_off = get_od_and_trac(df)\n",
    "pick_df = pd.DataFrame(pick_up, columns=['经度', \"纬度\", '定位时间'])\n",
    "pick_df[\"类型\"] = '上车点'\n",
    "drop_df = pd.DataFrame(drop_off)\n",
    "drop_df.columns = ['经度', \"纬度\", '定位时间']\n",
    "drop_df[\"类型\"] = '下车点'\n",
    "points_df = pick_df._append(drop_df).reset_index(drop=True)\n",
    "points_df.to_pickle('../data/processed/output_data/OD_all_3.pickle')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 热点的DBSCAN聚类"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-12T16:38:10.373226Z",
     "start_time": "2023-05-12T16:38:10.254195Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "聚类后热点类簇Label：\n",
      "\n",
      "0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, -1\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1920x1440 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "mpl.rcParams[\"font.sans-serif\"] = [\"SimHei\"]  # 让matplotlib支持中文字体的显示\n",
    "plt.figure(dpi=300)  # 设置绘图的分辨率，默认绘制的图形不够清晰\n",
    "\n",
    "od_df = pd.read_pickle('../data/processed/output_data/OD_all_3.pickle')\n",
    "sample_OD_df = od_df[:4000]\n",
    "data = np.array(sample_OD_df.loc[:, ['经度', '纬度']])\n",
    "db = DBSCAN(eps=0.002).fit(data)\n",
    "od_label = db.labels_  # 使用DBSCAN获得的热点聚类标签\n",
    "noise = 0\n",
    "for l in od_label:\n",
    "    if l == -1: noise += 1\n",
    "\n",
    "label_str = [str(ol) for ol in list(set(od_label))]  # 确定出租车OD热点类簇的数目与类型\n",
    "print('聚类后热点类簇Label：\\n\\n' + ', '.join(label_str))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 删除离群点"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-12T16:38:42.846963Z",
     "start_time": "2023-05-12T16:38:42.385863Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "清洗噪声后OD点数：1168\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\CliQue\\AppData\\Local\\Temp\\ipykernel_4144\\1934975609.py:13: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  sample_OD_df['热点类别'] = od_label\n"
     ]
    }
   ],
   "source": [
    "def drop_noise(df):  # 过滤存在噪声点的OD点\n",
    "    drop_indexes = []\n",
    "    i = 0\n",
    "    while i < len(df) - 1:\n",
    "        if df.loc[i].tolist()[-1] == -1 or df.loc[i + 1].tolist()[-1] == -1:\n",
    "            drop_indexes.append(i)\n",
    "            drop_indexes.append(i + 1)\n",
    "        i += 2\n",
    "    filter_df = df.drop(index=drop_indexes)\n",
    "    return filter_df\n",
    "\n",
    "\n",
    "sample_OD_df['热点类别'] = od_label\n",
    "filtered_df = drop_noise(sample_OD_df)\n",
    "filtered_df.reset_index(drop=True, inplace=True)\n",
    "\n",
    "print('清洗噪声后OD点数：' + str(len(filtered_df)))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 网络构建"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-12T16:38:45.368954Z",
     "start_time": "2023-05-12T16:38:45.297938Z"
    }
   },
   "outputs": [],
   "source": [
    "def get_nodes(df):\n",
    "    '''\n",
    "    节点的属性列表包含了热点的ID、经度、纬度以及访问的频次\n",
    "    '''\n",
    "    node_ids = list(set(df['热点类别'].tolist()))\n",
    "    nodes = [[ids] for ids in node_ids]\n",
    "    node_count = df['热点类别'].value_counts()\n",
    "    for node in nodes:\n",
    "        node.append({\n",
    "            'Node_ID': node[0],\n",
    "            'AverLon': round(df[df['热点类别'] == node[0]]['经度'].mean(), 6),\n",
    "            'AverLat': round(df[df['热点类别'] == node[0]]['纬度'].mean(), 6),\n",
    "            'counts': node_count[node[0]]\n",
    "        })\n",
    "    return nodes\n",
    "\n",
    "\n",
    "def get_edges(df):\n",
    "    ids = list(set(df['热点类别'].tolist()))  # 求出热点类数\n",
    "    edges = {}  # 邻接矩阵\n",
    "    for i in range(0, len(ids)):\n",
    "        for j in range(i, len(ids)):\n",
    "            edges[(i, j)] = 0\n",
    "    n = 0\n",
    "    while n < len(df) - 1:\n",
    "        e1 = (df.at[n, '热点类别'], df.at[n + 1, '热点类别'])\n",
    "        e2 = (df.at[n + 1, '热点类别'], df.at[n, '热点类别'])\n",
    "        if e1 in edges:\n",
    "            edges[e1] += 1\n",
    "        if e2 in edges:\n",
    "            edges[e2] += 1\n",
    "        n += 2\n",
    "    edge_list = []  # NetworkX要求的带权边是“三元组”的形式，即(起点, 终点, 权重)\n",
    "    for key in edges:\n",
    "        if key[0] != key[1] and edges[key] > 0:\n",
    "            edge_list.append((key[0], key[1],\n",
    "                              edges[key]))  # NetworkX有的算法要求不能有self-loop（自循环）\n",
    "    return edge_list\n",
    "\n",
    "\n",
    "def paint_network(G, nodes):  # 绘制网络\n",
    "    pos_dict = {}\n",
    "    for node in nodes:\n",
    "        pos_dict[node[0]] = (node[1]['AverLon'], node[1]['AverLat']\n",
    "                             )  # 以点的经纬度作为绘制的坐标\n",
    "    nx.draw(G, node_size=30, pos=pos_dict, width=0.1)\n",
    "    plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 网络可视化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-12T16:38:52.199263Z",
     "start_time": "2023-05-12T16:38:51.778179Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nodes = get_nodes(filtered_df)  # 课间实习和基础实习都已学过的网络可视化方法\n",
    "edges = get_edges(filtered_df)\n",
    "G = nx.Graph()  # 开始构建空网络\n",
    "G.add_nodes_from(nodes)  # 分别填入节点和边到网络中\n",
    "G.add_weighted_edges_from(edges)\n",
    "paint_network(G, nodes)  # 对网络进行拓扑可视化展示"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 边强度可视化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-12T16:39:00.154584Z",
     "start_time": "2023-05-12T16:38:59.003352Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '边强度图')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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M/e1vf1NcXJzWrFmj9PR03Xrrrc2Oy83N1d69exUdHS1J8vPz64hyAQBAF2BKqHG5XFqyZIni4uIkSVdeeaVKS0ubHXP06FEZhqGhQ4d2RIkAAKCLMeXyU0xMjKZNmyZJqq2tVWZmpiZPntzsmN27d6u+vl7R0dEKDg7WlClTmIsDAAA8TJ0onJ+fr169eum9997T0qVLm+174MABDR8+XNnZ2fr4449VVFSkjIyMJvu73W65XC6vBQAAWJepoSYuLk6bN2/WgAEDlJqa2mzfjIwMbdmyRcOHD9ewYcP09NNPKysrq8n+ixYtUlhYmGeJiYlp6/IBAEAnYmqosdlsio+P19q1a/XGG2+ovLy81WN79Oih0tJSud3u836ekZGhiooKz1JcXNxGVQMAgM7IlFCzfft2paene9r+/v6y2Wzy8Wm6nNtvv107duzwtHNyctSzZ085HI7z9nc4HHI6nV4LAACwLlPufho4cKBefPFFDRgwQDfeeKPmzp2r8ePHy+l0yuVyKTAwsNHt2sOGDdP999+vzMxMnTx5UhkZGUpLSzOjfAAA0AmZcqamd+/eysrK0nPPPachQ4aoqqpKL7/8sqSv59lkZ2c3GvPwww8rLi5OEyZMUFpammbOnKk5c+Z0dOkAAKCTshmGYZhdREdwuVwKCwtTRUVFu1yKSlrwdRDbNG9im28bAIAfqgv5+5sXWgIAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEsg1AAAAEswNdSUl5dr165dKisrM7MMAABgAaaFmtdff139+/dXamqqoqOj9frrr7c4Zvv27br88ssVFRWlxYsXd0CVAACgqzAl1FRUVGjmzJn629/+pr1792rZsmVKT09vdkxJSYlSUlI0depU5eTkaP369dq2bVsHVQwAADo7U0KNy+XSkiVLFBcXJ0m68sorVVpa2uyY9evXq0+fPpo3b54GDBigxx57TCtXruyIcgEAQBdgSqiJiYnRtGnTJEm1tbXKzMzU5MmTmx2Tn5+vMWPGyGazSZJGjhypPXv2tHutAACga7Cb+eX5+fkaO3as/P39tX///mb7ulwuDR482NN2Op06duxYk/3dbrfcbrfXeAAAYF2mhpq4uDht3rxZ999/v1JTU5WVldVkX7vdLofD4WkHBASoqqqqyf6LFi3S/Pnz27Te1khakN3kZ5vmTezASgAA+GEx9ZZum82m+Ph4rV27Vm+88YbKy8ub7BsZGamSkhJPu7KyUv7+/k32z8jIUEVFhWcpLi5uy9IBAEAnY0qo2b59u9fdTv7+/rLZbPLxabqchIQE5eTkeNp5eXnq27dvk/0dDoecTqfXAgAArMuUUDNw4EC9+OKLevHFF1VcXKxHH31U48ePl9PplMvlUm1tbaMxKSkp2rlzp95//33V1tbqqaeeUlJSkgnVAwCAzsiUUNO7d29lZWXpueee05AhQ1RVVaWXX35Z0tfzbLKzG89LiYqKUmZmpm666Sb17NlTBw8e1Ny5czu6dAAA0EmZNlH4P/7jP7Rv375G6w8fPtzkmBkzZigpKUkHDhzQtddeq5CQkHasEAAAdCWm3v30XcTGxio2NtbsMgAAQCfDW7oBAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlmBZqNm7cqIsvvlh2u10jRozQ/v37WxyTkpIim83mWcaNG9cBlQIAgK7AlFBz6NAh3XPPPXryySd19OhRDRw4UKmpqS2Oy83N1d69e1VWVqaysjJt3LixA6oFAABdgd2ML92/f7+efPJJ3XbbbZKktLQ0TZw4sdkxR48elWEYGjp0aEeUCAAAuhhTQk1ycrJX++DBgxowYECzY3bv3q36+npFR0errKxMkyZN0vLlyxUREdGepQIAgC7C9InCNTU1evbZZzVjxoxm+x04cEDDhw9Xdna2Pv74YxUVFSkjI6PJ/m63Wy6Xy2sBAADWZXqoefzxxxUcHNzinJqMjAxt2bJFw4cP17Bhw/T0008rKyuryf6LFi1SWFiYZ4mJiWnr0gEAQCdiaqj54IMPtGzZMm3YsEF+fn4XNLZHjx4qLS2V2+0+7+cZGRmqqKjwLMXFxW1RMgAA6KRMCzVFRUWaOnWqli1bpsGDB7fY//bbb9eOHTs87ZycHPXs2VMOh+O8/R0Oh5xOp9cCAACsy5SJwmfPnlVycrJuvvlmTZ48WadPn5YkBQcHq7KyUoGBgY3O3AwbNkz333+/MjMzdfLkSWVkZCgtLc2M8gEAQCdkypmazZs3q7CwUCtWrFBoaKhnOXLkiOLi4pSdnd1ozMMPP6y4uDhNmDBBaWlpmjlzpubMmWNC9QAAoDOyGYZhmF1ER3C5XAoLC1NFRUW7XIpKWtA4iH3bpnnNP4sHAAB4u5C/v02/+wkAAKAtEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAlEGoAAIAltDrUFBcXS5IMw9DBgweb7HfzzTd73roNAADQUVodaoYNGyZJqq2t1U9/+tPz9ikvL9e7776rgICAtqkOAACglVodakJDQ1VWVqYjR45Iko4cOaITJ07ozjvvVFFRkSTp2LFjGjRokOx2e/tUCwAA0IRWhxq73a433nhD11xzjT7//HONHDlSTzzxhP7xj3/o+uuv1zvvvKPc3FxdffXV7VkvAADAebU61NhsNk2fPl0nTpzQ4MGD9fe//12GYSg4OFjbtm1Tenq6nnzySaWkpLRnvQAAAOfVYqj55JNPlJSUJJfL5Vlns9lks9k87YsvvljTp0/XZ599puuuu659KgUAAGhGi6GmurpaQ4YMUWBgoFwul4qKilRTU6OjR496+rz00ktasWKFJk2apOzs7HYtGAAA4HxaDDWJiYlavHix7Ha7/ud//keJiYn617/+pVtvvVWBgYE6deqUsrOz9dFHHyk9PV2vvfZaR9QNAADgpdW3KdlsNk2ZMkW33nqrrrjiCn366aeSpDfeeENvvvmmJCkqKkp5eXntUykAAEAzLviJwnV1dbr88ss97QcffPD/N+bjo8jISH3xxRdtUx0AAEArtfpMzenTp/WTn/xENptNPj4+mjp1qrp166Y+ffro5Zdf1qhRozRo0CAtXbpUF110UXvWDAAA0EirQ80f/vAHz58Nw1B1dbXOnDmj48eP67333tPDDz8sp9Op3/zmNzyrBgAAdLhWh5rbbrutxT5vv/22Tp069b0KAgAA+C7a9H0GKSkpvMwSAACY4oInCp+zbds27dy5U++//74kqaGhQc8995z69eunwsLCNisQAACgNVp1pmbUqFEKDAxUbW2t5s+fr3HjxmnixIkaMmSICgsLdebMGT300EN6/vnn9eabb2rw4MHtXTcAAICXVoWa0tJSrV+/Xr///e89c2YuueQS/eMf/9CwYcMkSfPnz1dQUJDq6+vbr1oAAIAmtCrUBAUFadSoUcrKytL27dtVXV2tiooKvfzyy55/StJXX32l3bt3a8KECe1aNAAAwLdd8EThf/3rX2poaNCZM2eUk5Pj+acklZWVqbi4uM2LBAAAaEmrQo1hGKqpqVFDQ4NSU1N12223aefOnVq+fLl27Nih5cuXS/r6TA3zaQAAgBladffTvn37FBERoaVLl3rWHT9+XI8++qhOnDihRx99VKWlperRo4eqq6s974UCAADoKK06U9PQ0NBo3Zw5cyRJjzzyiKqrq+Xj83U+uvLKK1VWVtaGJQIAALSsVWdqxo4dqwkTJigpKUljx46VJM2ePVshISEKCgrSxRdfrJ07d2r79u3auHGjRo8e3eI2N27cqIsvvlh2u10jRozQ/v37Wxyzfft2XX755YqKitLixYtbUzoAAPiBaNWZmsOHD2vNmjVqaGjQ9OnTPeu3bt2qXr16qaKiQi6XSyUlJSooKFBBQYF69erV5PYOHTqke+65R88//7xGjx6tX/3qV0pNTdXOnTubHFNSUqKUlBQ9+OCDmjp1qqZMmaIrrrhCY8aMuYCfCwAArKpVoSY4OFjXXXedpK9v7z506JCCgoIUHR2tp556yqvv+PHjlZWVpVmzZjW5vf379+vJJ5/0vE8qLS1NEydObLaG9evXq0+fPpo3b55sNpsee+wxrVy5klADAAAktSLU1NbWyu12e9qRkZEaOXKkKisrlZiY2Kj/+PHjNXTo0Ga3mZyc7NU+ePCgBgwY0OyY/Px8jRkzRjabTZI0cuRIPfLIIy2VDwAAfiBaDDV2u12vvvqqp719+3bPn2tqarz6lpeXa/bs2fLz82t1ATU1NXr22Wf1wAMPNNvP5XJ53S7udDp17NixJvu73W6vMOZyuVpdEwAA6HpaDDU2m03x8fGSpLffflvR0dHq0aOHwsLCFBoa6tX3yJEjuuGGG3Ts2DH5+/u3qoDHH39cwcHBSk1Nbb5Qu10Oh8PTDggIUFVVVZP9Fy1apPnz57eqho6StCDb7BKatGle85f/AADo7C7oicK33HKLBg4cqPLycrlcLrndboWGhio2Nlbr1q1TSEiI591QrfHBBx9o2bJl+vjjj1s8uxMZGamSkhJPu7KystnglJGR4XX2x+VyKSYmptW1AQCArqVVt3R/0759+3T06FFVVlbK7Xbr888/V/fu3fXMM8/Iz89PNptNdnvLWamoqEhTp07VsmXLWvUU4oSEBM/rGCQpLy9Pffv2bbK/w+GQ0+n0WgAAgHVdUKg5N0n3m+2IiAiNGjVKhw8flmEYstlsngfxNeXs2bNKTk7WzTffrMmTJ+v06dM6ffq0DMOQy+VSbW1tozEpKSnauXOn3n//fdXW1uqpp55SUlLShZQPAAAsrMVQU19fr//6r//SQw89pIaGBr3yyivavXu31yTcX//613r//fdVU1PTaJ7N+WzevFmFhYVasWKFQkNDPcuRI0cUFxen7OzGc0+ioqKUmZmpm266ST179tTBgwc1d+7cC/y5AADAqlq8TnT69GmFhITI7XbLMAz96U9/0v79+3Xy5EklJydrzpw5GjJkiKSv737q2bNni1968803yzCM8352+PDhJsfNmDFDSUlJOnDggK699lqFhIS0+F0AAOCHocUzNWFhYVq+fLmee+452Ww2vfbaa/rf//1f5eTkKCIiQvHx8XrggQdUV1enL7/8Updcckm7FhwbG6sbb7yRQAMAALy0+u6nuro6NTQ0qLy8XCEhIRoyZIiWLVumO++8U5MmTVJoaKjOnj3LE34BAIApWh1q7Ha7ioqK1Lt3b6/1V111lbZs2aLo6GiNGzfO6+F8AAAAHaXVoWbjxo269NJL5evrq/r6ei1atEiBgYGeO6J27NihX/3qVwoPD2+vWgEAAJrUqlu6Z82apV/+8pcqKiqS9PWlqPnz56ugoEB79+7V3r17VVZWpj179qihoaFdCwYAADifVp2p+clPfqInnnhCYWFhkr5+r5KPj49Wr17t6WMYhm6//XYlJSVpy5Yt7VMtAABAE1oVasaNG+c9yG7Xww8/7LXOZrNp7dq1OnToUNtVBwAA0EoX/JoESQoKCtJvf/vbRusDAwM1dOjQ710UAADAhfpOoQYAAKCzIdQAAABLINQAAABLINQAAABLINQAAABLINQAAABLINQAAABLINQAAABLINQAAABLINQAAABLINQAAABLINQAAABLINQAAABLINQAAABLINQAAABLINQAAABLINQAAABLINQAAABLINQAAABLINQAAABLINQAAABLINQAAABLINQAAABLINQAAABLINQAAABLMDXUnDx5UrGxsTp8+HCr+qekpMhms3mWcePGtW+BAACgy7Cb9cUnT55UcnJyqwONJOXm5mrv3r2Kjo6WJPn5+bVTdQAAoKsx7UzNlClTdMcdd7S6/9GjR2UYhoYOHarw8HCFh4crODi4HSsEAABdiWmhZsWKFbrvvvta3X/37t2qr69XdHS0goODNWXKFJWVlbVjhQAAoCsxLdTExsZeUP8DBw5o+PDhys7O1scff6yioiJlZGQ02d/tdsvlcnktAADAurrM3U8ZGRnasmWLhg8frmHDhunpp59WVlZWk/0XLVqksLAwzxITE9OB1QIAgI7WZULNt/Xo0UOlpaVyu93n/TwjI0MVFRWepbi4uIMrBAAAHanLhJrbb79dO3bs8LRzcnLUs2dPORyO8/Z3OBxyOp1eCwAAsK5OF2pcLpdqa2sbrR82bJjuv/9+7dixQ2+99ZYyMjKUlpZmQoUAAKAz6nShJi4uTtnZ2Y3WP/zww4qLi9OECROUlpammTNnas6cOSZUCAAAOiPTHr53jmEYXu2mHsbn5+enlStXauXKlR1QFQAA6Go63ZkaAACA74JQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALMHUUHPy5EnFxsbq8OHDreq/fft2XX755YqKitLixYvbtzgAANClmBZqTp48qeTk5FYHmpKSEqWkpGjq1KnKycnR+vXrtW3btvYtEgAAdBmmhZopU6bojjvuaHX/9evXq0+fPpo3b54GDBigxx57TCtXrmzHCgEAQFdiWqhZsWKF7rvvvlb3z8/P15gxY2Sz2SRJI0eO1J49e9qrPAAA0MXYzfri2NjYC+rvcrk0ePBgT9vpdOrYsWNN9ne73XK73V7jAQCAdZkWai6U3W6Xw+HwtAMCAlRVVdVk/0WLFmn+/PkdUZolJC3INrsEAEAXt2neRFO/v8vc0h0ZGamSkhJPu7KyUv7+/k32z8jIUEVFhWcpLi7uiDIBAIBJusyZmoSEBG3YsMHTzsvLU9++fZvs73A4vM7sAAAAa+t0Z2pcLpdqa2sbrU9JSdHOnTv1/vvvq7a2Vk899ZSSkpJMqBAAAHRGnS7UxMXFKTu78fyOqKgoZWZm6qabblLPnj118OBBzZ0714QKAQBAZ2T65SfDMLzazT2Mb8aMGUpKStKBAwd07bXXKiQkpJ2rAwAAXYXpoeZCxcbGXvDt4AAAwPo63eUnAACA74JQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALIFQAwAALMG0UFNQUKCEhARFREQoPT1dhmG0OCYuLk42m82zpKamdkClAACgKzAl1Ljdbk2aNEnx8fHKzc1VYWGh1qxZ0+yYqqoqHTp0SF999ZXKyspUVlam3//+9x1TMAAA6PRMCTXvvvuuKioqtHjxYl1yySVauHChVq5c2eyYvLw8xcXFqXv37goPD1d4eLgCAwM7qGIAANDZmRJq8vPzlZiYqKCgIElfX1YqLCxsdszu3bv15ZdfekJNWlqa3G53R5QLAAC6AFNCjcvlUmxsrKdts9nk6+ursrKyJsccPHhQ11xzjXbs2KFNmzZpy5YtyszMbLK/2+2Wy+XyWgAAgHWZEmrsdrscDofXuoCAAFVVVTU55vnnn9err76qQYMGadSoUXrssceUlZXVZP9FixYpLCzMs8TExLRZ/QAAoPMxJdRERkaqpKTEa11lZaX8/f1bvY0ePXro6NGjTX6ekZGhiooKz1JcXPyd6wUAAJ2fKaEmISFBOTk5nnZRUZHcbrciIyObHHPVVVd5BZOcnBz169evyf4Oh0NOp9NrAQAA1mVKqLnuuuvkcrm0evVqSdLChQs1btw4+fr6qry8XPX19Y3GDBkyRPfee6927dqltWvX6tlnn1VaWlpHlw4AADopuylfarfrpZde0tSpU5Weni4fHx99+OGHkqSIiAjl5eVpxIgRXmOeeeYZ3XPPPRozZox69Oihp59+WnfffXfHFw8AADolU0KNJKWkpOjQoUPas2ePEhMT1a1bN0lq8snC4eHhevPNNzuyRAAA0IWYFmokqVevXpo4caKZJQAAAIvghZYAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASCDUAAMASTAs1BQUFSkhIUEREhNLT02UYRotjsrKy1K9fP/Xp00evvvpqB1QJAAC6ClNCjdvt1qRJkxQfH6/c3FwVFhZqzZo1zY4pKCjQtGnTNG/ePG3atEmPPfaYDh482DEFAwCATs+UUPPuu++qoqJCixcv1iWXXKKFCxdq5cqVzY556aWXNGbMGKWmpmrYsGGaNWuWXnnllQ6qGAAAdHamhJr8/HwlJiYqKChIkhQXF6fCwsIWx4wdO9bTHjlypPbs2dOudQIAgK7DbsaXulwuxcbGeto2m02+vr4qKytTREREq8Y4nU4dO3asye9wu91yu92edkVFhWc77aGuuqpdtgsAQFfRHn/Hnttma+bemhJq7Ha7HA6H17qAgABVVVU1GWq+PeZc/6YsWrRI8+fPb7Q+JibmO1YNAACaE7aw/bZdWVmpsLCwZvuYEmoiIyNVUFDgta6yslL+/v7NjikpKWl1/4yMDD3wwAOedkNDg06dOqVu3brJZrN9j+obc7lciomJUXFxsZxOZ5tuG63DMTAfx8B8HAPzcQzanmEYqqysVJ8+fVrsa0qoSUhI0IoVKzztoqIiud1uRUZGNjsmJydH06dPlyTl5eWpb9++TfZ3OByNzgaFh4d/v8Jb4HQ6+ZfYZBwD83EMzMcxMB/HoG21dIbmHFMmCl933XVyuVxavXq1JGnhwoUaN26cfH19VV5ervr6+kZjbrnlFv3pT3/S3r17dfr0aS1dulRJSUkdXToAAOikTAk1drtdL730kmbNmqWoqCht3LhRv/vd7yRJERER2rt3b6Mxw4cP1+zZs/WjH/1Iffv2la+vr2bOnNnRpQMAgE7KlMtPkpSSkqJDhw5pz549SkxMVLdu3SQ1P7v5iSee0LRp03T06FGNHj262Tk1HcnhcOjxxx9vdLkLHYdjYD6Ogfk4BubjGJjLZrTmHikAAIBOjhdaAgAASyDUAAAASyDUAEAXUl5erl27dqmsrMzsUoBOh1DzPRUUFCghIUERERFKT09v1WOc8d2cPHlSsbGxOnz4sGddc/t/+/btuvzyyxUVFaXFixebULG1bNy4URdffLHsdrtGjBih/fv3S+IYdKTXX39d/fv3V2pqqqKjo/X6669L4hiYZcKECVqzZo2k5vdzVlaW+vXrpz59+ujVV181odIfEAPfWXV1tdG/f3/j3nvvNT7//HPjpptuMlatWmV2WZZUUlJijBo1ypBkFBUVGYbR/P7/6quvDKfTacyfP9/47LPPjCuvvNL44IMPTPwFXdvnn39uREREGK+99ppx/Phx49ZbbzV+/OMfcww6UHl5uREVFWXk5+cbhmEYq1evNvr168cxMMm6desMScbq1aub3c979+41/P39jRUrVhiffvqpcemllxoHDhwwuXrrItR8D2+++aYRERFhnDlzxjAMw/jkk0+Mq6++2uSqrOmGG24wnnvuOa9Q09z+z8zMNC677DKjoaHBMAzDeOutt4xp06aZUrsV/PWvfzVeeOEFT/uDDz4wAgMDOQYd6IsvvjDWrVvnaefn5xshISEcAxOUlpYaPXv2NAYNGmSsXr262f08e/ZsIykpyTN2yZIlxpw5c0yp+4eAy0/fQ35+vhITExUUFCRJiouLU2FhoclVWdOKFSt03333ea1rbv/n5+drzJgxnvd8jRw5Unv27OnYoi0kOTlZv/zlLz3tgwcPasCAARyDDhQTE6Np06ZJkmpra5WZmanJkydzDEzw4IMPavLkyUpMTJTU/H7Oz8/X2LFjPWM5Bu2LUPM9uFwuxcbGeto2m02+vr5M4GsH39zP5zS3/7/9mdPp1LFjxzqkVqurqanRs88+qxkzZnAMTJCfn69evXrpvffe09KlSzkGHWzbtm3aunWrnnrqKc+65vYzx6BjEWq+B7vd3uipkQEBAaqqqjKpoh+W5vb/tz/juLSdxx9/XMHBwUpNTeUYmCAuLk6bN2/WgAEDOAYdrLq6Wvfee6+WL1+u0NBQz/rm9jPHoGMRar6HyMhIlZSUeK2rrKzsNK9vsLrm9v+3P+O4tI0PPvhAy5Yt04YNG+Tn58cxMIHNZlN8fLzWrl2rN954g2PQgRYsWKCEhARNnDjRa31z+5lj0LEINd9DQkKCcnJyPO2ioiK53W5FRkaaWNUPR3P7/9uf5eXlqW/fvmaUaRlFRUWaOnWqli1bpsGDB0viGHSk7du3Kz093dP29/eXzWbT5ZdfzjHoIBs2bNDGjRsVHh6u8PBwbdiwQTNnztTatWub3M8cgw5m9kzlrqy2ttbo3r275/bJ1NRUIzk52eSqrE3fuPupuf1fUlJiBAQEGFu2bDFqamqMCRMmGLNmzTKr7C6vqqrKGDx4sPGLX/zCqKys9Cw1NTUcgw5y7Ngxw+l0Gi+88ILxxRdfGHfddZcxYcIE/jvoQMXFxUZRUZFnueWWW4ynn3662f38ySefGMHBwcann35qVFZWGiNGjDCeeeYZk3+JdRFqvqeNGzcaQUFBRrdu3Yzu3bsb+/btM7skS/tmqDGM5vf/8uXLDT8/PyMiIsKIjY01jh8/bkLF1vDWW28ZkhotRUVFHIMOtHnzZmPw4MFGaGio8Z//+Z/GV199ZRgG/x2Y5e677zZWr15tGEbz+/nRRx81/P39DafTacTHxxtVVVUmVWx9vKW7DRw/flx79uxRYmKiunXrZnY5PzjN7f+ioiIdOHBA1157rUJCQkyq0Po4BubjGJivuf1cWFioo0ePavTo0cypaUeEGgAAYAlMFAYAAJZAqAEAAJZAqAEAAJZAqAHQpZSXl6uurs7sMgB0QoQaAJ3Sli1b9N///d+N1j/yyCO6++67TagIQGdHqAHQKSUkJOjPf/6z3nzzTRmGodraWklfP0m3d+/eTY5bs2aNRowY4bXuZz/7mWw2mxwOh4YOHapVq1a1Z+kATEKoAdAphYeHa+XKlbr00kt15MgR+fv7y8fHR3/4wx+0ePFi2e12z/LWW2+1uL0ZM2bo4MGD+sUvfqG0tDStW7eu/X8EgA5FqAHQaaWkpGjYsGGKjo7WkSNHVF5ergkTJmjVqlWqq6tTXV2dBgwYoOjo6Ba35XA41L9/f82ePVsPPvigMjMzO+AXAOhIhBoAnc6ZM2dUUVGh6upq1dXVyW6366KLLpLT6dT+/ft12WWXefpWVFSoR48eF7T9pKQk5efnq6ampq1LB2AiQg2ATufJJ59U9+7dFRISooULF3rW79u3TyUlJRo+fLhnncvlUlhY2AVtv3fv3qqvr9epU6farGYA5iPUAOh0FixYoJqaGt15550KDAz0rP/jH/+o5ORkz7qGhgZVV1fL6XRe0PZtNpskibfEANZiN7sAAGjOuQCSk5OjFStWKDc31/NZRUWFQkNDPX1a68SJE7Lb7YqMjGzTWgGYi1ADoNP75z//qeTkZKWlpSkuLk5lZWVasmSJdu3apdjY2Ave3ubNm3XllVfK4XC0Q7UAzEKoAdApNTQ06PDhwyovL9ddd92lmTNnat68eZKkiIgIffTRR+rXr58WL17cqu253W4dOXJE77zzjp555hlt2LChPcsHYAJCDYBOp6qqSnfffbcGDRqk+Ph4jRs3TuPHj9c777yj6OhohYeHa9WqVbLZbKqtrdUnn3yiiy66qNnLSc8//7xWrVqlIUOGaN26dfrJT37ScT8IQIewGcyUA9DJ7N27V7/+9a+1adMm2e12nTp1SitXrtQHH3ygQ4cO6cSJE6qsrPRM9I2IiNC///1vLicBP3CEGgBd1rkH8ElSQECAydUAMBuhBgAAWALPqQEAAJZAqAEAAJZAqAEAAJZAqAEAAJZAqAEAAJZAqAEAAJZAqAEAAJZAqAEAAJZAqAEAAJbwf5LRQSJTynUhAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 计算边强度并可视化\n",
    "edgeData = []\n",
    "for u, v, d in G.edges.data():\n",
    "    edgeData.append((u, v, d['weight']))\n",
    "edgeData = pd.DataFrame(edgeData)\n",
    "edgeData.columns = ['edgeNode1', 'edgeNode2', 'numCount']\n",
    "edgeData = edgeData.sort_values(by='numCount', ascending=False)\n",
    "\n",
    "X = [i for i in range(0, len(edgeData['numCount']))]\n",
    "Y = edgeData['numCount']\n",
    "plt.bar(X, Y, 1, color=\"steelblue\")\n",
    "plt.xlabel('边ID')  # X轴标签\n",
    "plt.ylabel(\"边强度\")  # Y轴标签\n",
    "plt.title(\"边强度图\")  # 标题"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 度中心性可视化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-12T16:39:04.265985Z",
     "start_time": "2023-05-12T16:39:03.775867Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '度中心性')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 计算度中心性并可视化\n",
    "degree_centralities = dict(nx.degree_centrality(G))\n",
    "X = [i for i in range(0, len(degree_centralities))][1:]\n",
    "Y = [degree_centralities[key]\n",
    "     for key in degree_centralities][1:]  # 设置绘制的数据——空间交互网络节点强度\n",
    "fig = plt.figure()\n",
    "plt.bar(X, Y, 1, color=\"steelblue\")\n",
    "plt.xlabel(\"热点ID\", fontsize=13)\n",
    "plt.title(\"出租车空间交互网络度中心性\", fontsize=13)\n",
    "plt.ylabel(\"度中心性\", fontsize=13)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 距离中心性可视化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-12T16:39:08.165341Z",
     "start_time": "2023-05-12T16:39:07.649223Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '距离中心性')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 计算距离中心性并可视化\n",
    "closeness_centrality = dict(nx.closeness_centrality(G))\n",
    "X = [i for i in range(0, len(closeness_centrality))][1:]\n",
    "Y = [closeness_centrality[key]\n",
    "     for key in closeness_centrality][1:]  # 设置绘制的数据——空间交互网络节点强度\n",
    "fig = plt.figure()\n",
    "plt.bar(X, Y, 1, color=\"steelblue\")\n",
    "plt.xlabel(\"热点ID\", fontsize=13)\n",
    "plt.title(\"出租车空间交互网络距离中心性\", fontsize=13)\n",
    "plt.ylabel(\"距离中心性\", fontsize=13)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 聚合系数和平均路径长度比较"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-12T16:39:11.396623Z",
     "start_time": "2023-05-12T16:39:10.957525Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 探究复杂网络的小世界特性（以出租车热点网络为例）\n",
    "average_clustering = nx.average_clustering(G)  # 平均聚合系数\n",
    "try:\n",
    "    average_shortest_path_length = nx.average_shortest_path_length(G)  # 平均路径长度\n",
    "except networkx.exception.NetworkXException:\n",
    "    lengths = []\n",
    "    for C in (G.subgraph(c).copy() for c in nx.connected_components(G)):\n",
    "        lengths.append(nx.average_shortest_path_length(C))\n",
    "        average_shortest_path_length = max(lengths)\n",
    "# 生成一个节点相同，连接概率为0.5的随机网络\n",
    "er = nx.erdos_renyi_graph(len(nodes), 0.5)\n",
    "er_average_clustering = nx.average_clustering(er)  # 随机网络平均聚合系数\n",
    "er_average_shortest_path_length = nx.average_shortest_path_length(er)  # 随机网络平均路径长度\n",
    "# 生成一个节点相同的规则网络\n",
    "rg = nx.random_regular_graph(4, len(nodes))  # 生成一个含有12个节点，每个节点有4个邻居节点的规则网络\n",
    "rg_average_clustering = nx.average_clustering(rg)  # 规则网络平均聚合系数\n",
    "rg_average_shortest_path_length = nx.average_shortest_path_length(rg)  # 规则网络平均路径长度\n",
    "\n",
    "labels = ['平均聚合系数', '平均路径长度']\n",
    "x = np.arange(len(labels))  # x轴刻度标签位置\n",
    "width = 0.25  # 柱子的宽度\n",
    "# 计算每个柱子在x轴上的位置，保证x轴刻度标签居中 x - width/2，x + width/2即每组数据在x轴上的位置\n",
    "ig = plt.figure()\n",
    "plt.bar(x - width, [average_clustering, average_shortest_path_length], width, label='出租车热点网络')\n",
    "plt.bar(x, [rg_average_clustering, rg_average_shortest_path_length], width, label='同规模规则网络')\n",
    "plt.bar(x + width, [er_average_clustering, er_average_shortest_path_length], width, label='同规模随机网络')\n",
    "# x轴刻度标签位置不进行计算\n",
    "plt.xticks(x, labels=labels)\n",
    "plt.legend()\n",
    "plt.title(\"复杂网络小世界特性探究\")\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 热点提取"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 过滤低强度节点"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-12T16:39:15.417899Z",
     "start_time": "2023-05-12T16:39:15.355890Z"
    }
   },
   "outputs": [],
   "source": [
    "def drop_low_weight(nodes):  # 过滤低强度节点（度小于5）\n",
    "    high_nodes = []\n",
    "    i = 0\n",
    "    while i < len(nodes) - 1:\n",
    "        node = nodes[i]\n",
    "        if node[1]['counts'] > 5:  # 设置阈值，度大于5的节点保留\n",
    "            high_nodes.append((node[0], node[1]['AverLon'], node[1]['AverLat'],\n",
    "                               node[1]['counts']))\n",
    "        i += 1\n",
    "    high_nodes = pd.DataFrame(high_nodes)\n",
    "    high_nodes.columns = ['ID', 'Lon', 'Lat', 'Strength']\n",
    "    return high_nodes\n",
    "\n",
    "\n",
    "high_weights = drop_low_weight(nodes)\n",
    "high_weights.reset_index(drop=True, inplace=True)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 逆地理编码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-12T16:39:34.167093Z",
     "start_time": "2023-05-12T16:39:20.434405Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.525709%2C114.330527&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.516522%2C114.363541&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.524575%2C114.345956&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.500386%2C114.406598&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.532023%2C114.254852&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.579363%2C114.285007&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.621877%2C114.279238&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.64643%2C114.315236&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.618523%2C114.253336&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.579757%2C114.245119&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.615733%2C114.273961&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.532717%2C114.310337&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.592182%2C114.206369&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.500972%2C114.384976&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.584103%2C114.218428&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.587447%2C114.280778&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.58335%2C114.270209&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.621091%2C114.225195&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.588942%2C114.288679&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.570375%2C114.257763&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.570218%2C114.207043&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.581865%2C114.259174&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.586623%2C114.245675&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.574644%2C114.248907&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.631554%2C114.251628&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.600956%2C114.208876&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.528382%2C114.350252&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.588598%2C114.210992&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.554451%2C114.276151&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.552278%2C114.259345&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.55834%2C114.229812&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.592816%2C114.2707&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.552514%2C114.207638&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.529248%2C114.326539&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.531067%2C114.367039&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.507086%2C114.393668&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.584542%2C114.358562&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.507673%2C114.37587&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.638215%2C114.2675&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.549824%2C114.243086&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.559308%2C114.221654&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.581102%2C114.340333&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.539478%2C114.24981&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.587232%2C114.343241&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.620385%2C114.287795&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.613343%2C114.259984&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.572011%2C114.243875&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.573433%2C114.265452&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.606793%2C114.267045&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.539553%2C114.326801&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.595207%2C114.287455&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.591737%2C114.258195&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.6277%2C114.123147&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.625831%2C114.135663&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.622576%2C114.140737&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.596731%2C114.262103&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.53029%2C114.314128&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.621304%2C114.268091&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.600635%2C114.293346&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.620036%2C114.13422&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.650713%2C114.136801&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.631354%2C114.257725&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.624917%2C114.127047&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.631314%2C114.143014&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.630235%2C114.130078&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.63172%2C114.136013&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.640395%2C114.13945&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.60693%2C114.211893&extensions_poi=1&radius=300\n",
      "url:https://api.map.baidu.com/reverse_geocoding/v3/?ak=kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4&output=json&coordtype=wgs84ll&location=30.632202%2C114.303048&extensions_poi=1&radius=300\n"
     ]
    }
   ],
   "source": [
    "address = []\n",
    "poi = []\n",
    "\n",
    "# 从百度地图开放平台申请AK来进行逆地理编码\n",
    "def geocode(location):\n",
    "    parameters = {'ak': 'kbg5UcK25w0rYj6N7zsgJ3BzdxD0ODP4', \n",
    "                  'output': 'json', \n",
    "                  'coordtype': 'wgs84ll',\n",
    "                  'location': location\n",
    "        , 'extensions_poi': 1, 'radius': 300}\n",
    "    \n",
    "    base = 'https://api.map.baidu.com/reverse_geocoding/v3/?'\n",
    "\n",
    "    response = requests.get(base, parameters)\n",
    "    print('url:' + response.url)\n",
    "    answer = response.json()\n",
    "    if answer['status'] == 0:\n",
    "        address.append(answer['result']['formatted_address'])\n",
    "        poi.append(answer['result']['pois'])\n",
    "    else:\n",
    "        address.append(np.nan)\n",
    "        poi.append(np.nan)\n",
    "\n",
    "\n",
    "high_weights.apply(lambda x: geocode(('{},{}'.format(x['Lat'], x['Lon']))), axis=1)\n",
    "high_weights['address'] = address\n",
    "high_weights['pois'] = poi"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 保存POI数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-12T16:44:12.355865Z",
     "start_time": "2023-05-12T16:44:12.305837Z"
    }
   },
   "outputs": [],
   "source": [
    "# pois是一个数组，保存第一个poi的种类\n",
    "high_weights['pois'] = high_weights['pois'].apply(lambda x: x[0]['poiType'] if len(x) else 'None')\n",
    "sub_df = high_weights[['Strength', 'address', 'pois']]\n",
    "\n",
    "# 保存数据统计表，存储在csv文件中\n",
    "sub_df.to_csv('../data/processed/output_data/poi_3.csv', index=False)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## POI统计分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-12T16:46:44.811307Z",
     "start_time": "2023-05-12T16:46:44.546232Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 10 artists>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 根据POI种类，计算权值，权值设置为其出现的总次数sum\n",
    "group = sub_df.groupby('pois').agg('sum')\n",
    "plt.title('POI种类统计图')\n",
    "plt.xlabel('POI类型')\n",
    "plt.ylabel('出现次数')\n",
    "plt.xticks(rotation=60)\n",
    "plt.bar(group.index, group['Strength'])"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## POI词云"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-12T16:46:53.086735Z",
     "start_time": "2023-05-12T16:46:52.909865Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<wordcloud.wordcloud.WordCloud at 0x2ab88c06b30>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from wordcloud import WordCloud\n",
    "\n",
    "poiText = ''\n",
    "addressText = ''\n",
    "for i in range(len(sub_df)):\n",
    "    repeat = sub_df['Strength'][i]\n",
    "    for j in range(repeat):\n",
    "        poiText += '{} '.format(sub_df['pois'][i])\n",
    "        addressText += '{} '.format(sub_df['address'][i])\n",
    "\n",
    "wordcloud = WordCloud(font_path='C:\\Windows\\Fonts\\simhei.ttf').generate(poiText) # 系统中便带有simhei字体文件，直接引用即可\n",
    "wordcloud.to_file('../data/processed/output_picture/POI_WordCloud3.jpg')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "geopy",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.6"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
